Instructions to use yujiepan/tiny-random-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/tiny-random-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yujiepan/tiny-random-bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yujiepan/tiny-random-bert") model = AutoModel.from_pretrained("yujiepan/tiny-random-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc8d07456a430a88fa02523813482b062467c03cabd705eb18bd952a37dbd2df
- Size of remote file:
- 262 kB
- SHA256:
- 80492bfe7d37a03104f44eb86854630797fd3d0d2e26964400021eb4bc6fd52d
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